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Certificate (Data Science)

[Side Projects After Work] Big Data Analysis Engineer Practical Exam (Task Types 1, 2, and 3)

We’ll guide non-majors and beginners to quickly earn the Big Data Analysis Engineer practical certification! Keep the theory light and the practical training solid. Even without complex background knowledge, you’ll focus on past exam questions and study only the key points that are sure to appear on the test.

(4.9) 935 reviews

6,097 learners

Level Beginner

Course period 12 months

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Engineer Big Data Analysis
Engineer Big Data Analysis
Big Data
Big Data
Python
Python
Pandas
Pandas
Machine Learning(ML)
Machine Learning(ML)
Engineer Big Data Analysis
Engineer Big Data Analysis
Big Data
Big Data
Python
Python
Pandas
Pandas
Machine Learning(ML)
Machine Learning(ML)
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Type 2 Task Derived Variables

Have you solved all the problems?
If so, try your hand at creating derived variables from date data in Task Type 2 (Question 3)!

If you haven't reached that point yet, I recommend organizing what you've studied so far step-by-step rather than rushing to learn new material.

https://code.sideonai.com/


image.png
Date derived variables (day of the week/month/weekend) — apply identically to both train and test!
  train['date'] = pd.to_datetime(train['date'])
  train['dayofweek'] = train['date'].dt.dayofweek          # Day of week (Mon=0~Sun=6)
  train['month'] = train['date'].dt.month                  # Month (1~12)
  train['is_weekend'] = (train['date'].dt.dayofweek >= 5).astype(int)

  test['date'] = pd.to_datetime(test['date'])
  test['dayofweek'] = test['date'].dt.dayofweek
  test['month'] = test['date'].dt.month
  test['is_weekend'] = (test['date'].dt.dayofweek >= 5).astype(int)

Keep it up!


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